This book presents some of the most recent research results in the area of machine learning and robot perception. The chapters represent new ways of solving real-world problems. The book covers topics such as intelligent object detection, foveated vision systems, online learning paradigms, reinforcement learning for a mobile robot, object tracking and motion estimation, 3D model construction, computer vision system and user modelling using dialogue strategies. This book will appeal to researchers, senior undergraduate/postgraduate students, application engineers and scientists.
| ISBN: | 9783540265498 |
| Publication date: | 14th September 2005 |
| Author: | Bruno Apolloni |
| Publisher: | Springer an imprint of Springer Berlin Heidelberg |
| Format: | Hardback |
| Pagination: | 351 pages |
| Series: | Studies in Computational Intelligence |
| Genres: |
Automatic control engineering Artificial intelligence |
This book presents some of the most recent research results in the area of machine learning and robot perception. The chapters represent new ways of solving real-world problems.
Machine Learning and Robot Perception features in the following genres: Automatic control engineering, Artificial intelligence
Paperback, Hardback. Not Available.
Machine Learning and Robot Perception was written by Bruno Apolloni and published by Springer an imprint of Springer Berlin Heidelberg
Machine Learning and Robot Perception has 351 pages
Yes it is part of Studies in Computational Intelligence series